The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-08"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "36515563 (up from 36156226 yesterday: 0.99 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1061877 (up from 1055683 yesterday: 0.59 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6337124

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.91



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7605873 56191 0.74 930535 212762 961 0.45 2.80
India 6906151 70496 1.03 1691474 106490 964 0.91 1.54
Brazil 5028444 27750 0.55 573058 148957 729 0.49 2.96
Russia 1253603 11345 0.91 172451 21939 184 0.85 1.75
Colombia 886179 8495 0.97 142234 27180 0 0.00 3.07
Argentina 856369 15454 1.84 254656 22710 484 2.18 2.65
Spain 848324 12423 1.49 222673 32688 126 0.39 3.85
Peru 835662 2733 0.33 91262 33009 95 0.29 3.95
Mexico 804488 5300 0.66 120375 83096 370 0.45 10.33
France 711704 18101 2.61 257438 32539 76 0.23 4.57
South Africa 686891 1736 0.25 31319 17408 160 0.93 2.53
United Kingdom 564502 17550 3.21 180415 42682 77 0.18 7.56
Iran 488236 4392 0.91 75087 27888 230 0.83 5.71
Chile 476016 1576 0.33 34866 13167 77 0.59 2.77
Iraq 394566 3522 0.90 87181 9683 79 0.82 2.45
Bangladesh 374592 1441 0.39 30328 5460 20 0.37 1.46
Italy 338398 4458 1.33 45373 36083 22 0.06 10.66
Saudi Arabia 338132 421 0.12 9988 4972 25 0.51 1.47
Philippines 331869 2232 0.68 55580 6069 144 2.43 1.83
Turkey 330753 1615 0.49 32714 8667 58 0.67 2.62
Indonesia 320564 4850 1.54 87936 11580 108 0.94 3.61
Pakistan 317595 661 0.21 13209 6552 8 0.12 2.06
Germany 315941 4804 1.54 46893 9545 -37 -0.39 3.02
Israel 285336 3855 1.37 110080 1864 40 2.19 0.65
Ukraine 251243 5545 2.26 80870 4807 100 2.12 1.91
Canada 177730 2350 1.34 34851 9609 16 0.17 5.41
Netherlands 161332 5867 3.77 69070 6587 13 0.20 4.08
Romania 145700 3130 2.20 37010 5247 44 0.85 3.60
Ecuador 145045 1514 1.05 22788 12141 398 3.39 8.37
Belgium 143596 5728 4.15 45620 10126 18 0.18 7.05
Morocco 142953 2929 2.09 48449 2486 47 1.93 1.74
Bolivia 137969 263 0.19 8550 8228 36 0.44 5.96
Qatar 127394 213 0.17 4701 218 0 0.00 0.17
Panama 118054 754 0.64 13916 2463 15 0.61 2.09
Dominican Republic 116872 724 0.62 10736 2163 4 0.19 1.85
Poland 111599 4280 3.99 35028 2867 75 2.69 2.57
Kuwait 109441 698 0.64 11617 642 3 0.47 0.59
Kazakhstan 108561 107 0.10 1427 1746 0 0.00 1.61
Egypt 104156 121 0.12 2515 6017 7 0.12 5.78
Oman 104129 664 0.64 12376 1009 9 0.90 0.97
United Arab Emirates 102929 1089 1.07 20361 438 2 0.46 0.43
Czechia 100757 5397 5.66 56602 869 40 4.83 0.86
Nepal 98617 4364 4.63 39044 590 12 2.08 0.60
Sweden 97532 855 0.88 9647 5892 0 0.00 6.04
Guatemala 96480 776 0.81 12816 3347 12 0.36 3.47
China 90728 41 0.05 434 4739 0 0.00 5.22
Japan 87679 640 0.74 10191 1617 3 0.19 1.84
Costa Rica 84828 1331 1.59 24010 1040 16 1.56 1.23
Portugal 82534 1278 1.57 16138 2050 10 0.49 2.48
Belarus 81982 477 0.59 6995 880 6 0.69 1.07
Ethiopia 81797 902 1.12 14884 1262 7 0.56 1.54
Honduras 81672 656 0.81 11552 2477 11 0.45 3.03
Venezuela 81019 615 0.76 16735 678 7 1.04 0.84
Bahrain 74422 490 0.66 11233 264 2 0.76 0.35
Uzbekistan 60026 447 0.75 10399 496 5 1.02 0.83
Moldova 59915 1121 1.91 14932 1424 18 1.28 2.38
Nigeria 59841 103 0.17 3106 1113 0 0.00 1.86
Switzerland 58881 1172 2.03 10086 2087 5 0.24 3.54
Singapore 57849 9 0.02 317 27 0 0.00 0.05
Armenia 54473 718 1.34 7802 1004 9 0.90 1.84
Algeria 52658 138 0.26 3464 1783 12 0.68 3.39
Austria 52057 1209 2.38 16204 838 8 0.96 1.61
Lebanon 49744 1367 2.83 22976 439 6 1.39 0.88
Kyrgyzstan 48342 245 0.51 3189 1073 4 0.37 2.22
Paraguay 47316 881 1.90 16203 1012 23 2.33 2.14
Ghana 46947 118 0.25 1233 306 3 0.99 0.65
West Bank and Gaza 43256 416 0.97 9413 359 4 1.13 0.83
Azerbaijan 41304 191 0.46 2527 603 1 0.17 1.46
Libya 40292 779 1.97 14470 616 8 1.32 1.53
Kenya 40178 271 0.68 3602 751 3 0.40 1.87
Ireland 40086 502 1.27 8063 1817 1 0.06 4.53
Afghanistan 39616 68 0.17 744 1470 1 0.07 3.71
Serbia 34344 151 0.44 1649 760 2 0.26 2.21
Hungary 34046 932 2.81 18876 898 21 2.39 2.64
Denmark 31648 447 1.43 9812 665 2 0.30 2.10
El Salvador 29842 105 0.35 2593 877 4 0.46 2.94
Bosnia and Herzegovina 29528 453 1.56 4923 913 5 0.55 3.09
Australia 27226 20 0.07 365 897 0 0.00 3.29
Tunisia 26899 2357 9.60 18329 409 45 12.36 1.52
Korea, South 24476 54 0.22 1693 428 1 0.23 1.75
Bulgaria 23259 516 2.27 4715 880 7 0.80 3.78
Burma 22445 1012 4.72 18146 535 25 4.90 2.38
Jordan 21517 1317 6.52 17386 144 13 9.92 0.67
Greece 21381 434 2.07 6981 430 6 1.42 2.01
Cameroon 21203 279 1.33 900 423 3 0.71 2.00
Cote d’Ivoire 19982 47 0.24 824 120 0 0.00 0.60
North Macedonia 19777 364 1.88 3503 775 3 0.39 3.92
Croatia 18989 542 2.94 4710 310 1 0.32 1.63
Madagascar 16654 21 0.13 729 235 0 0.00 1.41
Kosovo 15938 0 0.00 1056 638 0 0.00 4.00
Slovakia 15726 1037 7.06 9705 57 2 3.64 0.36
Zambia 15301 77 0.51 1373 335 0 0.00 2.19
Norway 15221 208 1.39 2577 275 0 0.00 1.81
Senegal 15190 16 0.11 572 313 0 0.00 2.06
Albania 14899 169 1.15 2951 411 4 0.98 2.76
Malaysia 14368 375 2.68 4316 146 5 3.55 1.02
Sudan 13670 2 0.01 135 836 0 0.00 6.12
Montenegro 13004 210 1.64 5501 191 1 0.53 1.47
Namibia 11781 67 0.57 1703 127 1 0.79 1.08
Finland 11345 296 2.68 2546 346 0 0.00 3.05
Guinea 10901 38 0.35 747 68 0 0.00 0.62
Congo (Kinshasa) 10822 18 0.17 380 276 0 0.00 2.55
Maldives 10742 86 0.81 1248 34 0 0.00 0.32
Georgia 10225 472 4.84 7288 66 3 4.76 0.65
Tajikistan 10097 42 0.42 883 78 0 0.00 0.77

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 845270 3342 0.40 70233 16418 80 0.49 1.94 21392.62 415.52 1 in 47
Texas 807754 4064 0.51 106404 16767 106 0.64 2.08 27857.54 578.25 1 in 36
Florida 726013 3306 0.46 51557 15068 164 1.10 2.08 33803.05 701.56 1 in 30
New York 470104 1836 0.39 22842 33227 1 0.00 7.07 24165.45 1708.02 1 in 41
Georgia 327407 1265 0.39 26504 7294 35 0.48 2.23 30836.77 686.98 1 in 32
Illinois 313429 3094 1.00 43135 9159 32 0.35 2.92 24734.33 722.78 1 in 40
North Carolina 225397 2428 1.09 35821 3722 29 0.79 1.65 21490.77 354.88 1 in 47
Arizona 223401 863 0.39 11741 5743 10 0.17 2.57 29337.38 754.18 1 in 34
New Jersey 211148 1298 0.62 12787 16161 9 0.06 7.65 23772.07 1819.48 1 in 42
Tennessee 209447 1992 0.96 31307 2705 63 2.38 1.29 30651.50 395.86 1 in 33
Pennsylvania 172948 1421 0.83 20173 8268 21 0.25 4.78 13509.46 645.84 1 in 74
Louisiana 170621 524 0.31 11317 5609 5 0.09 3.29 36702.21 1206.55 1 in 27
Ohio 164262 1539 0.95 22677 4983 13 0.26 3.03 14052.58 426.29 1 in 71
Alabama 161975 557 0.35 20218 2637 36 1.38 1.63 33034.65 537.81 1 in 30
Virginia 155270 1819 1.19 17903 3325 25 0.76 2.14 18191.04 389.55 1 in 55
South Carolina 154755 1050 0.68 19309 3514 12 0.34 2.27 30057.02 682.50 1 in 33
Michigan 146493 1401 0.97 19771 7193 24 0.33 4.91 14668.58 720.25 1 in 68
Wisconsin 141830 3132 2.26 47084 1424 9 0.64 1.00 24359.23 244.57 1 in 41
Missouri 138987 1567 1.14 29430 2268 30 1.34 1.63 22645.81 369.54 1 in 44
Massachusetts 136936 444 0.33 10808 9565 8 0.08 6.99 19704.43 1376.36 1 in 51
Indiana 129677 1450 1.13 21031 3742 15 0.40 2.89 19262.15 555.83 1 in 52
Maryland 129425 761 0.59 10906 3979 6 0.15 3.07 21407.85 658.16 1 in 47
Minnesota 107922 1271 1.19 21200 2160 6 0.28 2.00 19136.35 383.00 1 in 52
Mississippi 102819 578 0.57 10884 3074 23 0.75 2.99 34547.67 1032.88 1 in 29
Iowa 96657 1564 1.64 19453 1433 14 0.99 1.48 30635.45 454.19 1 in 33
Oklahoma 95564 1212 1.28 22246 1085 10 0.93 1.14 24150.80 274.20 1 in 41
Washington 91918 710 0.78 10720 2183 6 0.28 2.37 12070.82 286.68 1 in 83
Arkansas 90145 1265 1.42 16934 1503 21 1.42 1.67 29870.85 498.04 1 in 33
Nevada 83827 480 0.58 9232 1649 13 0.79 1.97 27215.18 535.36 1 in 37
Utah 81947 1501 1.87 21289 501 5 1.01 0.61 25560.85 156.27 1 in 39
Kentucky 77455 868 1.13 18085 1234 11 0.90 1.59 17336.77 276.21 1 in 58
Colorado 75761 862 1.15 12636 2095 10 0.48 2.77 13155.84 363.80 1 in 76
Kansas 63501 560 0.89 12337 747 34 4.77 1.18 21796.83 256.41 1 in 46
Connecticut 59748 384 0.65 4362 4527 5 0.11 7.58 16758.26 1269.74 1 in 60
Puerto Rico 52294 526 1.02 13427 715 10 1.42 1.37 16374.14 223.88 1 in 61
Nebraska 50059 663 1.34 10138 514 7 1.38 1.03 25878.20 265.71 1 in 39
Idaho 46426 673 1.47 9937 503 3 0.60 1.08 25906.43 280.68 1 in 39
Oregon 36116 482 1.35 6056 594 11 1.89 1.64 8562.89 140.83 1 in 117
New Mexico 31756 384 1.22 4557 899 3 0.33 2.83 15144.77 428.74 1 in 66
South Dakota 26441 535 2.07 8755 272 14 5.43 1.03 29888.35 307.46 1 in 33
Rhode Island 26045 269 1.04 2557 1127 1 0.09 4.33 24585.58 1063.85 1 in 41
North Dakota 25384 527 2.12 8661 310 6 1.97 1.22 33309.63 406.79 1 in 30
Delaware 21682 132 0.61 2364 651 2 0.31 3.00 22266.18 668.54 1 in 45
West Virginia 17333 183 1.07 3899 376 1 0.27 2.17 9698.70 210.39 1 in 103
Montana 16677 614 3.82 7030 197 4 2.07 1.18 15603.80 184.32 1 in 64
District of Columbia 15765 113 0.72 975 634 3 0.48 4.02 22337.97 898.34 1 in 45
Hawaii 13146 101 0.77 2041 164 1 0.61 1.25 9284.74 115.83 1 in 108
Alaska 9005 127 1.43 2468 60 1 1.69 0.67 12309.56 82.02 1 in 81
New Hampshire 8878 147 1.68 1097 448 2 0.45 5.05 6529.33 329.48 1 in 153
Wyoming 7092 193 2.80 2440 54 1 1.89 0.76 12253.81 93.30 1 in 82
Maine 5638 35 0.62 676 142 0 0.00 2.52 4194.28 105.64 1 in 238
Vermont 1838 11 0.60 133 58 0 0.00 3.16 2945.56 92.95 1 in 339

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 15623623 845270 5.41 2543586 70233 2.76 395412.4
2 Texas 6703106 807754 12.05 1357930 106404 7.84 231174.4
3 Florida 5489758 726013 13.22 478785 51557 10.77 255602.2
4 New York 11647440 470104 4.04 2025520 22842 1.13 598730.5
5 Georgia 3083121 327407 10.62 403230 26504 6.57 290383.2
6 Illinois 6108519 313429 5.13 1185486 43135 3.64 482055.3
7 North Carolina 3268955 225397 6.90 554780 35821 6.46 311682.8
8 Arizona 1531095 223401 14.59 178213 11741 6.59 201065.9
9 New Jersey 3842667 211148 5.49 576849 12787 2.22 432626.1
10 Tennessee 3089853 209447 6.78 524974 31307 5.96 452184.2
11 Pennsylvania 2153031 172948 8.03 283833 20173 7.11 168179.4
12 Louisiana 2440215 170621 6.99 316025 11317 3.58 524913.6
13 Ohio 3489730 164262 4.71 771397 22677 2.94 298545.7
14 Alabama 1184710 161975 13.67 139797 20218 14.46 241620.5
15 Virginia 2189792 155270 7.09 361280 17903 4.96 256550.5
16 South Carolina 1430639 154755 10.82 343052 19309 5.63 277863.4
17 Michigan 3921840 146493 3.74 670109 19771 2.95 392700.1
18 Wisconsin 1656295 141830 8.56 250997 47084 18.76 284467.8
19 Missouri 1979390 138987 7.02 800809 29430 3.68 322511.3
20 Massachusetts 4541516 136936 3.02 1341953 10808 0.81 653502.3
21 Indiana 1451391 129677 8.93 181741 21031 11.57 215588.8
22 Maryland 1696299 129425 7.63 201957 10906 5.40 280580.3
23 Minnesota 2224194 107922 4.85 960648 21200 2.21 394386.4
24 Mississippi 807474 102819 12.73 174042 10884 6.25 271315.0
25 Iowa 803037 96657 12.04 101599 19453 19.15 254522.7
26 Oklahoma 1304870 95564 7.32 265033 22246 8.39 329764.9
27 Washington 1987477 91918 4.62 296430 10720 3.62 260998.7
28 Arkansas 1111526 90145 8.11 254608 16934 6.65 368320.2
29 Nevada 724198 83827 11.58 71615 9232 12.89 235117.3
30 Utah 892022 81947 9.19 156844 21289 13.57 278238.8
31 Kentucky 1500613 77455 5.16 461928 18085 3.92 335882.5
32 Colorado 1477301 75761 5.13 323448 12636 3.91 256532.2
33 Kansas 549398 63501 11.56 85172 12337 14.48 188581.8
34 Connecticut 1779258 59748 3.36 370985 4362 1.18 499050.4
36 Nebraska 490130 50059 10.21 77279 10138 13.12 253374.7
37 Idaho 324328 46426 14.31 40963 9937 24.26 180980.0
38 Oregon 718568 36116 5.03 93144 6056 6.50 170368.1
39 New Mexico 965319 31756 3.29 127919 4557 3.56 460370.9
40 South Dakota 211291 26441 12.51 39768 8755 22.02 238838.9
41 Rhode Island 859429 26045 3.03 193503 2557 1.32 811271.1
42 North Dakota 661206 25384 3.84 120581 8661 7.18 867653.8
43 Delaware 301502 21682 7.19 34334 2364 6.89 309625.3
44 West Virginia 609660 17333 2.84 111377 3899 3.50 341135.9
45 Montana 381665 16677 4.37 86366 7030 8.14 357104.1
46 District of Columbia 416816 15765 3.78 75498 975 1.29 590600.9
47 Hawaii 308385 13146 4.26 42885 2041 4.76 217805.7
48 Alaska 491171 9005 1.83 75308 2468 3.28 671416.0
49 New Hampshire 482118 8878 1.84 246608 1097 0.44 354573.9
50 Wyoming 108942 7092 6.51 17490 2440 13.95 188233.8
51 Maine 482615 5638 1.17 131237 676 0.52 359031.9
52 Vermont 169402 1838 1.08 16207 133 0.82 271482.3

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1493884 40231 2.77 1212016 81.13 241986 39430 1083 2.82 2.64
Andhra Pradesh 739719 16207 2.24 684930 92.59 48661 6128 109 1.81 0.83
Karnataka 679356 31644 4.89 552519 81.33 117143 9675 305 3.26 1.42
Tamil Nadu 640943 15552 2.49 586454 91.50 44437 10052 206 2.09 1.57
Uttar Pradesh 427459 10022 2.40 378662 88.58 42552 6245 153 2.51 1.46
Delhi 300833 8273 2.83 272948 90.73 22232 5653 111 2.00 1.88
West Bengal 284030 10351 3.78 249737 87.93 28854 5439 184 3.50 1.91
Kerala 258851 23922 10.18 167256 64.61 90579 931 71 8.26 0.36
Odisha 244142 8812 3.74 216984 88.88 26131 1027 50 5.12 0.42
Telangana 206644 6033 3.01 179075 86.66 26368 1201 30 2.56 0.58
Bihar 192671 3813 2.02 180357 93.61 11384 929 5 0.54 0.48
Assam 191397 3679 1.96 159833 83.51 30767 794 34 4.47 0.41
Rajasthan 152605 6410 4.38 129618 84.94 21382 1605 46 2.95 1.05
Gujarat 147950 3924 2.72 128023 86.53 16386 3541 29 0.83 2.39
Madhya Pradesh 142022 4924 3.59 122687 86.39 16788 2547 84 3.41 1.79
Haryana 138682 3773 2.80 126267 91.05 10867 1548 57 3.82 1.12
Chhattisgarh 134612 8607 6.83 106027 78.76 27427 1158 77 7.12 0.86
Punjab 121716 2530 2.12 107200 88.07 10775 3741 100 2.75 3.07
Jharkhand 90486 2460 2.79 80439 88.90 9272 775 28 3.75 0.86
Jammu and Kashmir 81793 2055 2.58 69020 84.38 11482 1291 39 3.12 1.58
Uttarakhand 53359 1368 2.63 44535 83.46 7849 702 33 4.93 1.32
Goa 37102 1383 3.87 31902 85.98 4716 484 24 5.22 1.30
Puducherry 30539 1262 4.31 25256 82.70 4727 556 13 2.39 1.82
Tripura 27756 726 2.69 23043 83.02 4389 301 5 1.69 1.08
Himachal Pradesh 16778 745 4.65 13583 80.96 2943 233 14 6.39 1.39
Chandigarh 12922 344 2.73 11344 87.79 1392 186 9 5.08 1.44
Manipur 12679 574 4.74 9719 76.65 2877 83 8 10.67 0.65
Arunachal Pradesh 11479 931 8.83 8679 75.61 2778 22 4 22.22 0.19
Meghalaya 7261 496 7.33 4832 66.55 2369 60 1 1.69 0.83
Nagaland 6736 142 2.15 5516 81.89 1149 12 0 0.00 0.18
Ladakh 4902 261 5.62 3550 72.42 1289 63 2 3.28 1.29
Andaman and Nicobar Islands 3952 53 1.36 3707 93.80 190 55 1 1.85 1.39
Sikkim 3246 136 4.37 2569 79.14 544 52 6 13.04 1.60
Dadra and Nagar Haveli and Daman and Diu 3129 39 1.26 2994 95.69 105 2 0 0.00 0.06
Mizoram 2150 30 1.42 1926 89.58 224 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2195207 108316 251 0.23 4.93 305 41 9532 16973 15.67
Piemonte 748061 36312 129 0.36 4.85 273 15 3423 4168 11.48
Emilia-Romagna 1219843 36089 167 0.46 2.96 213 11 5046 4487 12.43
Veneto 1980931 28854 230 0.80 1.46 182 20 4401 2194 7.60
Lazio 937860 17757 248 1.42 1.89 764 48 8142 944 5.32
Toscana 780067 15764 185 1.19 2.02 112 32 4065 1168 7.41
Campania 632399 14768 431 3.01 2.34 463 43 7709 466 3.16
Liguria 325764 13976 107 0.77 4.29 180 24 1907 1610 11.52
Puglia 426286 8317 83 1.01 1.95 239 14 2956 599 7.20
Marche 255176 8165 22 0.27 3.20 28 6 954 992 12.15
Sicilia 508826 7809 128 1.67 1.53 361 28 3358 321 4.11
P.A. Trento 238552 6224 49 0.79 2.61 17 0 650 406 6.52
Friuli Venezia Giulia 426195 4911 21 0.43 1.15 23 5 868 353 7.19
Abruzzo 209580 4607 30 0.66 2.20 72 7 1017 482 10.46
Sardegna 200055 4317 88 2.08 2.16 116 19 2326 156 3.61
P.A. Bolzano 183294 3662 17 0.47 2.00 21 0 627 292 7.97
Umbria 213866 2695 19 0.71 1.26 42 5 706 86 3.19
Calabria 210446 2086 23 1.11 0.99 37 2 583 101 4.84
Valle d’Aosta 29980 1346 13 0.98 4.49 6 1 93 146 10.85
Basilicata 76885 934 14 1.52 1.21 30 2 403 33 3.53
Molise 45073 677 2 0.30 1.50 3 0 137 25 3.69

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 82992 1078 1.32 5915 9 0.15 7.13 9720.68 692.81 1 in 103
Ontario 58913 711 1.22 3043 4 0.13 5.17 4004.47 206.84 1 in 250
Alberta 19718 364 1.88 283 2 0.71 1.44 4468.01 64.13 1 in 224
British Columbia 10066 110 1.10 245 1 0.41 2.43 1969.51 47.94 1 in 508
Manitoba 2344 66 2.90 27 0 0.00 1.15 1701.61 19.60 1 in 588
Saskatchewan 2012 18 0.90 24 0 0.00 1.19 1702.68 20.31 1 in 587
Nova Scotia 1089 0 0.00 65 0 0.00 5.97 1114.12 66.50 1 in 898
Newfoundland and Labrador 277 0 0.00 4 0 0.00 1.44 531.30 7.67 1 in 1882
New Brunswick 225 3 1.35 2 0 0.00 0.89 288.46 2.56 1 in 3467
Prince Edward Island 61 0 0.00 0 0 NaN 0.00 385.69 0.00 1 in 2593
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5161 105 2.03
Guangdong 1851 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1036 7 0.68
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 936 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 832 7 0.84
Sichuan 713 3 0.42
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Shaanxi 425 3 0.71
Fujian 414 1 0.24
Hebei 365 6 1.64
Liaoning 273 2 0.73
Inner Mongolia 268 1 0.37
Guangxi 260 2 0.77
Tianjin 242 3 1.24
Yunnan 211 2 0.95
Shanxi 206 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 23245.33 650.25 1 in 43
India 5157.69 79.53 1 in 194
Brazil 24025.05 711.69 1 in 42
Russia 8675.45 151.83 1 in 115
Colombia 18059.49 553.90 1 in 55
Argentina 19344.23 512.99 1 in 52
Spain 18180.97 700.56 1 in 55
Peru 25976.44 1026.08 1 in 38
Mexico 6226.69 643.16 1 in 161
France 10624.03 485.73 1 in 94
South Africa 12110.21 306.91 1 in 83
United Kingdom 8496.42 642.41 1 in 118
Iran 6015.72 343.62 1 in 166
Chile 26372.08 729.47 1 in 38
Iraq 10310.06 253.02 1 in 97
Bangladesh NA NA 1 in NA
Italy 5595.21 596.61 1 in 179
Saudi Arabia 10265.09 150.94 1 in 97
Philippines 3163.67 57.86 1 in 316
Turkey 4092.97 107.25 1 in 244

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 278665 6726 2.41
Miami-Dade Florida 173721 3387 1.95
Cook Illinois 151470 5279 3.49
Harris Texas 149771 2657 1.77
Maricopa Arizona 144867 3454 2.38
Dallas Texas 85189 1161 1.36
Broward Florida 78614 1443 1.84
Queens New York 73742 7274 9.86
Kings New York 70899 7346 10.36
Clark Nevada 70121 1431 2.04
Riverside California 61416 1248 2.03
Bexar Texas 59323 1347 2.27
San Bernardino California 57203 974 1.70
Orange California 55183 1306 2.37
Tarrant Texas 53838 751 1.39
Bronx New York 53617 4965 9.26
San Diego California 49466 819 1.66
Nassau New York 47656 2201 4.62
Palm Beach Florida 47525 1416 2.98
Suffolk New York 47196 2011 4.26
Hillsborough Florida 43578 685 1.57
Orange Florida 41571 495 1.19
Westchester New York 38694 1454 3.76
Philadelphia Pennsylvania 38515 1817 4.72
Wayne Michigan 36538 3002 8.22
Salt Lake Utah 35436 271 0.76
New York New York 34144 3182 9.32
Hidalgo Texas 33148 1824 5.50
Kern California 32674 387 1.18
Shelby Tennessee 32280 524 1.62
Duval Florida 31500 471 1.50
Milwaukee Wisconsin 31276 548 1.75
Prince George’s Maryland 30356 833 2.74
Travis Texas 30075 437 1.45
Mecklenburg North Carolina 29963 364 1.21
Hennepin Minnesota 29404 947 3.22
Fresno California 29069 406 1.40
Franklin Ohio 28661 633 2.21
Middlesex Massachusetts 28638 2178 7.61
Fulton Georgia 28581 583 2.04
Gwinnett Georgia 28461 421 1.48
Davidson Tennessee 27765 319 1.15
El Paso Texas 26969 546 2.02
Pima Arizona 26217 630 2.40
St. Louis Missouri 25709 826 3.21
Suffolk Massachusetts 25273 1143 4.52
King Washington 23547 782 3.32
Sacramento California 23420 445 1.90
Montgomery Maryland 23293 852 3.66
Cameron Texas 23127 1037 4.48
Bergen New Jersey 22959 2050 8.93
Pinellas Florida 22822 776 3.40
Marion Indiana 22689 771 3.40
Santa Clara California 22154 354 1.60
Utah Utah 22010 66 0.30
Alameda California 21938 440 2.01
Fairfax Virginia 21632 595 2.75
Oakland Michigan 21592 1214 5.62
Essex New Jersey 21539 2128 9.88
Lee Florida 21089 479 2.27
Hudson New Jersey 21042 1518 7.21
Jefferson Alabama 20965 359 1.71
Essex Massachusetts 20835 1306 6.27
San Joaquin California 20828 473 2.27
Polk Florida 20814 549 2.64
Nueces Texas 20767 423 2.04
Fairfield Connecticut 20701 1425 6.88
Cobb Georgia 20294 437 2.15
Middlesex New Jersey 20134 1430 7.10
Oklahoma Oklahoma 19736 200 1.01
Providence Rhode Island 19636 0 0.00
DeKalb Georgia 19473 375 1.93
Passaic New Jersey 19418 1256 6.47
DuPage Illinois 18788 577 3.07
Wake North Carolina 18755 258 1.38
Baltimore Maryland 18668 640 3.43
Tulsa Oklahoma 18484 175 0.95
Cuyahoga Ohio 18183 665 3.66
Union New Jersey 18061 1360 7.53
Jefferson Louisiana 17947 573 3.19
Lake Illinois 17932 494 2.75
Douglas Nebraska 17736 198 1.12
Contra Costa California 17420 224 1.29
Jefferson Kentucky 17315 319 1.84
Stanislaus California 16886 381 2.26
Polk Iowa 16814 272 1.62
Fort Bend Texas 16712 295 1.77
Tulare California 16634 267 1.61
Rockland New York 16454 677 4.11
Richmond New York 16294 1088 6.68
Baltimore City Maryland 16263 489 3.01
Charleston South Carolina 16141 269 1.67
Richland South Carolina 15953 251 1.57
Collin Texas 15923 161 1.01
Out of GA Georgia 15873 169 1.06
District of Columbia District of Columbia 15765 634 4.02
Macomb Michigan 15577 1038 6.66
Hartford Connecticut 15434 1442 9.34
East Baton Rouge Louisiana 15395 444 2.88
Greenville South Carolina 15245 319 2.09

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc